facebook-data2vec-finetuned-finance-classification

nickmuchi/facebook-data2vec-finetuned-finance-classification

facebook-data2vec-finetuned-finance-classification is a text classification model from nickmuchi. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: data2vec-text
Access: Public
Created: Apr 27, 2022
Updated: Apr 27, 2022
SHA: bc1802fd

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Model card

From the Hugging Face model README

fb-data2vec-finetuned-finance-classification

This model is a fine-tuned version of facebook/data2vec-text-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.8993
Accuracy: 0.8557
F1: 0.8563
Precision: 0.8576
Recall: 0.8557

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	1.0	285	0.6704	0.6680	0.6262	0.7919	0.6680
0.6626	2.0	570	0.4731	0.8360	0.8350	0.8346	0.8360
0.6626	3.0	855	0.4598	0.8458	0.8454	0.8452	0.8458
0.3666	4.0	1140	0.4758	0.8360	0.8352	0.8353	0.8360
0.3666	5.0	1425	0.5683	0.8340	0.8342	0.8353	0.8340
0.2316	6.0	1710	0.6234	0.8419	0.8421	0.8447	0.8419
0.2316	7.0	1995	0.7186	0.8379	0.8385	0.8395	0.8379
0.1523	8.0	2280	0.7268	0.8439	0.8442	0.8455	0.8439
0.0928	9.0	2565	0.7364	0.8439	0.8452	0.8494	0.8439
0.0928	10.0	2850	0.7975	0.8478	0.8476	0.8476	0.8478
0.054	11.0	3135	0.9019	0.8498	0.8509	0.8554	0.8498
0.054	12.0	3420	0.8779	0.8538	0.8548	0.8578	0.8538
0.036	13.0	3705	0.8914	0.8617	0.8626	0.8652	0.8617
0.036	14.0	3990	0.8976	0.8538	0.8547	0.8572	0.8538
0.0232	15.0	4275	0.8993	0.8557	0.8563	0.8576	0.8557

Framework versions

Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: data2vec-text
License: mit
Created: Apr 27, 2022
Updated: Apr 27, 2022